Dirichlet negative multinomial distribution

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Elementary Distributions Factsheet

Covers elementary distributions like Bernoulli, Binomial, Geometric, Negative Binomial, Poisson, and Multinomial.

Common Distributions: Moment Generating Functions

Explores common probability distributions, special distributions, and entropy concepts.

Topic Models

Introduces topic models, covering clustering, GMM, LDA, Dirichlet distribution, and variational inference.

Topic Models: Latent Dirichlet Allocation

Covers topic models, focusing on Latent Dirichlet Allocation, clustering, GMMs, Dirichlet distribution, LDA learning, and applications in digital humanities.

Goodness-of-Fit Test: Variables and Distributions

Covers the revision of variables, categorical data analysis, and goodness-of-fit tests.

Naive Bayes: Gaussian Discriminant Analysis

Covers the Naive Bayes assumption, Gaussian Discriminant Analysis, ML estimates, and Kernel trick.

Multinomial Distribution

Covers the multinomial distribution, joint density, marginal distribution, and conditional distribution.

Probabilistic Topic Models: Latent Dirichlet Allocation

Explores Latent Dirichlet Allocation, a probabilistic topic model for document clustering and analysis using distributions over words and topics.

Modeling the Pandemic: Challenges and Responses

Explores the challenges of modeling the COVID-19 pandemic, analyzing data biases and community responses to the crisis.

Decision and regression trees

Explores decision and regression trees, impurity measures, learning algorithms, and implementations, including conditional inference trees and tree pruning.